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GECCO
2004
Springer
155views Optimization» more  GECCO 2004»
15 years 10 months ago
Genetic Network Programming with Reinforcement Learning and Its Performance Evaluation
A new graph-based evolutionary algorithm named “Genetic Network Programming, GNP” has been proposed. GNP represents its solutions as directed graph structures, which can improv...
Shingo Mabu, Kotaro Hirasawa, Jinglu Hu
BIOINFORMATICS
2006
106views more  BIOINFORMATICS 2006»
15 years 4 months ago
Identification of biochemical networks by S-tree based genetic programming
Motivation: Most previous approaches to model biochemical networks havefocusedeither on the characterization of a networkstructurewith a number of components or on the estimation ...
Dong-Yeon Cho, Kwang-Hyun Cho, Byoung-Tak Zhang
162
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EVOW
2005
Springer
15 years 10 months ago
On the Application of Evolutionary Algorithms to the Consensus Tree Problem
Computing consensus trees amounts to finding a single tree that summarizes a collection of trees. Three evolutionary algorithms are defined for this problem, featuring characteri...
Carlos Cotta
ICTAI
2006
IEEE
15 years 10 months ago
A New Hybrid GA-MDP Algorithm For The Frequency Assignment Problem
We propose a novel algorithm called GA-MDP for solving the frequency assigment problem. GA-MDP inherits the spirit of genetic algorithms with an adaptation of Markov Decision Proc...
Lhassane Idoumghar, René Schott
CIMCA
2005
IEEE
15 years 10 months ago
A New Evolutionary Algorithm for Determining the Optimal Number of Clusters
Estimating the optimal number of clusters for a dataset is one of the most essential issues in cluster analysis. An improper pre-selection for the number of clusters might easily ...
Wei Lu, Issa Traoré